Business and Marketing Data Scientist, Applied Machine Learning

Mountain View, CA (On-site)

$138K/yr – $198K/yrSenior LevelFull time

Posted 7 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Own end-to-end ML initiatives from research to production, solving real-world business problems and aligning models with product goals.

Lead model development, evaluation, and debugging across the development lifecycle.
Collaborate with product teams to define objectives, constraints, and key metrics.
Integrate models and predictions into production serving systems.

Build efficient and scalable Machine Learning (ML) models that help small and mid-size businesses to grow their business, leveraging the power of Google solutions.
Solve real-world problems with the latest research in deep learning, natural language processing, and understanding.
Work with product teams to understand their objectives, product requirements, constraints, and key metrics.
Propose, build, evaluate, and debug machine learning models and algorithms.
Integrate pipelines, models, and predictions into production serving systems.

Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

PhD in Computer Science or Engineering, or a related field.
Experience in driving a project from an experimental idea, proof-of-concept, and a launched product feature.
Experience in cross-functional collaboration, with engineering and product teams.
Experience in publications working with technologies.
Experience with data ontologies with knowledge in graphs.